Tag: Machine Learning

Will machines one day be as creative as humans? – Microsoft Research Blog

via Microsoft Research Will machines one day be as creative as humans? By Sebastian Nowozin Recent methods in artificial intelligence enable AI software to produce rich and creative digital artifacts such as text and images painted from scratch. One technique used in creating these artifacts are generative adversarial networks (GANs). Today at NIPS 2017, researchers…

Read More

Microsoft will invest $5 billion in IoT. Here’s why.

via blogs.microsoft.com Microsoft will invest $5 billion in IoT. Here’s why. Julia White, CVP Microsoft Azure Today, we are announcing that we will invest $5 billion in the Internet of Things over the next four years. The reason we are doing this is simple: Our goal is to give every customer the ability to transform…

Read More

Top 20 Python AI and Machine Learning Open Source Projects- KDnuggets

via Top 20 Python AI and Machine Learning Open Source Projects We update the top AI and Machine Learning projects in Python. Tensorflow has moved to the first place with triple-digit growth in contributors. Scikit-learn dropped to 2nd place, but still has a very large base of contributors. By Ilan Reinstein, KDnuggets. Getting into Machine…

Read More

Retail’s Adapt-Or-Die Moment: How Artificial Intelligence Is Reshaping Commerce- CB Insights

via Retail’s Adapt-Or-Die Moment: How Artificial Intelligence Is Reshaping Commerce Traditional and new-school retailers alike are using AI and robotics to automate various parts of the retail chain, from manufacturing to last-mile delivery. Retail is under pressure to crack the AI code. After all, corporations in every industry are scrambling to adapt and integrate artificial…

Read More

Deep Learning vs Classical Machine Learning- Towards Data Science

via towardsdatascience.com by George Seif Deep Learning vs Classical Machine Learning Over the past several years, deep learning has become the go-to technique for most AI type problems, overshadowing classical machine learning. The clear reason for this is that deep learning has repeatedly demonstrated its superior performance on a wide variety of tasks including speech, natural…

Read More

The Differences Between Machine Learning And Predictive Analytics- Digitalist Magazine

via The Differences Between Machine Learning And Predictive Analytics by Shaily Kumar Many people are confused about the specifics of machine learning and predictive analytics. Although they are both centered on efficient data processing, there are many differences. Machine learning Machine learning is a method of computational learning underlying most artificial intelligence (AI) applications. In…

Read More

Using Node.js + OpenCV for Face Recognition- Medium

via medium.com Node.js + OpenCV for Face Recognition OpenCV — Node.js Tutorial Series by Vincent Mühler Recently I have added the face recognition algorithms from OpenCV contrib to opencv4nodejs, an npm package, which allows you to use OpenCV in your Node.js application. Today we are going to take a look at the Fisher-, Eigen- and LBPH FaceRecognizers implemented…

Read More

Impact of ML on the cloud: AI as a Service

this is a Guest Post by Danish Impact of ML on the Cloud Today, organizations are becoming data-driven with customers generating the bulk of data every day. With the ability to effectively analyze and generate insights from this data, organizations have able to refine their existing business strategies. Companies could develop data-driven insights using machine…

Read More

Smartphones Will Get Even Smarter With On-Device Machine Learning- IEEE Spectrum

via Smartphones Will Get Even Smarter With On-Device Machine Learning It’s time for deep learning algorithms to come down from the cloud and get into your gadgets By Mehdi Bennis Engineers are on the cusp of on-device machine learning, as evidenced by the first NIPS workshop on the subject in late 2017, and the advent…

Read More

Fashion That Fits- ApparelNews

via Fashion That Fits by Jerry Inman Fashion has a fit problem, and it’s a $62 billion–plus apparel- and footwear-return problem annually and growing, according to the Franklin, Tenn.–based global research and advisory IHL Group. A staggering 70 percent of all returned apparel online is fit related. As an industry, let’s be honest—“universal sizing” does…

Read More